THE DEVELOPMENT AND EVALUATION OF SOFTWARE TO VERIFY DIAGNOSTIC ACCURACY

This article describes the development and evaluation of software that verifies the accuracy of diagnoses made by nursing students. The software was based on a model that uses fuzzy logic concepts, including PERL, the MySQL database for Internet accessibility, and the NANDA-I 2007-2008 classification system. The software was evaluated in terms of its technical quality and usability through specific instruments. The activity proposed in the software involves four stages in which students establish the relationship values between nursing diagnoses, defining characteristics/risk factors and clinical cases. The relationship values determined by students are compared to those of specialists, generating performance scores for the students. In the evaluation, the software demonstrated satisfactory outcomes regarding the technical quality and, according to the students, helped in their learning and may become an educational tool to teach the process of nursing diagnosis.

Software Application That Evaluates the Diagnostic Accuracy of Nursing Students

PURPOSE: Apply the educational software Fuzzy Kitten with undergraduate Brazilian nursing students. METHODS: This software, based on fuzzy logic, generates performance scores that evaluate the ability to identify defining characteristics/risk factors present in clinical cases, relate them with nursing diagnoses, and determine the diagnoses freely or using a decision support model. FINDINGS: There were differences in student performance compared to the year of the course. The time to perform the activity did not present a significant relation to the performance. The students' scores in the diagnoses indicated by the model was superior (p = .01). CONCLUSIONS: The software was able to evaluate the diagnostic accuracy of students. IMPLICATIONS: The software enables an objective evaluation of diagnostic accuracy.

Software para estimativa do custo operacional de máquinas agrícolas - MAQCONTROL

A seleção e a otimização de sistemas mecanizados são os principais objetivos da mecanização racional. Não é suficiente uma compra adequada do maquinário agrícola se sua utilização não for controlada em aspectos operacionais e financeiros. Neste trabalho, é descrito o desenvolvimento de software para estimativa do custo operacional de máquinas agrícolas (MAQCONTROL), utilizando o ambiente de desenvolvimento Borland Delphi e o banco de dados Firebird. Os custos operacionais foram divididos em fixos e variáveis. Nos custos fixos, foram estimadas as despesas com depreciação, juros, alojamento e seguros. Nos custos variáveis, foi dada ênfase aos custos de manutenção como: óleos lubrificantes, filtros, pneus, graxa, combustível, pequenos reparos e troca de peças. Os resultados demonstraram a eficiência do software para os objetivos propostos. Assim, o MAQCONTROL pode ser uma importante ferramenta no processo de administração rural, pois reduz os custos da informação e agiliza a determinação precisa dos custos operacionais de máquinas agrícolas.